Label-free in vivo imaging of Drosophila melanogaster by multiphoton microscopy

被引:0
作者
Lin, Chiao-Ying [1 ]
Hovhannisyan, Vladimir [2 ]
Wu, June-Tai [4 ]
Lin, Sung-Jan [3 ,5 ]
Lin, Chii-Wann [1 ]
Chen, Horng [1 ]
Dong, Chen-Yuan [2 ]
机构
[1] Natl Taiwan Univ, Dept Elect Engn, Taipei 10764, Taiwan
[2] Natl Taiwan Univ, Dept Phys, Taipei, Taiwan
[3] Natl Taiwan Univ Hosp, Coll Med, Dept Dermatol, Taipei, Taiwan
[4] Natl Taiwan Univ Hosp, Dept Med Res, Taipei, Taiwan
[5] Natl Taiwan Univ, Coll Engn & Med, Taipei, Taiwan
来源
MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES VIII | 2008年 / 6860卷
关键词
Drosophila; multiphoton microscopy; in vivo imaging;
D O I
10.1117/12.763202
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The fruit fly Drosophila melanogaster is one of the most valuable organisms in genetic and developmental biology studies. Drosophila is a small organism with a short life cycle, and is inexpensive and easy to maintain. The entire genome of Drosophila has recently been sequenced (cite the reference). These advantages make fruit fly an attractive model organism for biomedical researches. Unlike humans, Drosophila can be subjected to genetic manipulation with relative ease. Originally, Drosophila was mostly used in classical genetics studies. In the model era of molecular biology, the fruit fly has become a model organ for developmental biology researches. In the past, numerous molecularly modified mutants with well defined genetic defects affecting different aspects of the developmental processes have been identified and studied. However, traditionally, the developmental defects of the mutant flies are mostly examined in isolated fixed tissues which preclude the observation of the dynamic interaction of the different cell types and the extracellular matrix. Therefore, the ability to image different organelles of the fruit fly without extrinsic labeling is invaluable for Drosophila biology. In this work,, we successfully acquire in vivo images of both developing muscles and axons of motor neurons in the three larval stages by using the minimially invasive imaging modality of multiphoton (SHG) microscopy.. We found that while SHG imaging is useful in revealing the muscular architecture of the developing larva, it is the autofluorescence signal that allows label-free imaging of various organelles to be achieved. Our results demonstrate that multiphoton imaging is a powerful technique for investigation the development of Drosophila.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Label-Free Multiphoton Microscopy: The Origin of Fluorophores and Capabilities for Analyzing Biochemical Processes
    Shirshin, E. A.
    Yakimov, B. P.
    Darvin, M. E.
    Omelyanenko, N. P.
    Rodionov, S. A.
    Gurfinkel, Y. I.
    Lademann, J.
    Fadeev, V. V.
    Priezzhev, A. V.
    BIOCHEMISTRY-MOSCOW, 2019, 84 (Suppl 1) : 69 - 88
  • [22] Label-free imaging of Drosophila in vivo by coherent anti-Stokes Raman scattering and two-photon excitation autofluorescence microscopy
    Chien, Cheng-Hao
    Chen, Wei-Wen
    Wu, June-Tai
    Chang, Ta-Chau
    JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (01)
  • [23] Label-free multiphoton imaging to detect hepatic steatosis in chronic liver disease
    Huang, Xingxin
    He, JiaJia
    Yu, XunBin
    Zheng, Liqin
    Chen, Jianxin
    Bai, Yannan
    Li, Lianhuang
    AOPC 2021: BIOMEDICAL OPTICS, 2021, 12067
  • [24] Detection of fibrotic changes in the progression of liver diseases by label-free multiphoton imaging
    Huang, Xingxin
    Lian, Yuan-E
    Qiu, Lida
    Yu, XunBin
    Zhan, Zhenlin
    Zhang, Zheng
    Zhang, Xiong
    Lin, Hongxin
    Xu, Shuoyu
    Chen, Jianxin
    Bai, Yannan
    Li, Lianhuang
    JOURNAL OF BIOPHOTONICS, 2023, 16 (10)
  • [25] Label-free assessment of pathological changes in pancreatic intraepithelial neoplasia by biomedical multiphoton microscopy
    Miao, Jikui
    Zhang, Zheng
    Zhang, Xiong
    Huang, Xingxin
    Zhang, Shichao
    Zhan, Zhenlin
    Chen, Jianxin
    Chen, Linying
    Li, Lianhuang
    JOURNAL OF BIOPHOTONICS, 2024, 17 (04)
  • [26] Label-free monitoring of colorectal adenoma-carcinoma sequence based on multiphoton microscopy
    Chen, J. X.
    Li, H. S.
    Chen, Z. F.
    Feng, C. Y.
    Yang, Y. H.
    Jiang, W. Z.
    Guan, G. X.
    Zhu, X. Q.
    Zhuo, S. M.
    Xu, J.
    LASER PHYSICS LETTERS, 2014, 11 (06)
  • [27] Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label-Free Multiphoton Microscopy Using Convolutional Neural Networks
    Jones, Jake D.
    Rodriguez, Marcos R.
    Quinn, Kyle P.
    LASERS IN SURGERY AND MEDICINE, 2021, 53 (08) : 1086 - 1095
  • [28] In Vivo Imaging of Microglia With Multiphoton Microscopy
    Hierro-Bujalance, Carmen
    Bacskai, Brian J.
    Garcia-Alloza, Monica
    FRONTIERS IN AGING NEUROSCIENCE, 2018, 10
  • [29] Label-free in vivo optical imaging of microvasculature and oxygenation level
    Fu, Dan
    Matthews, Thomas E.
    Ye, Tong
    Piletic, Ivan R.
    Warren, Warren S.
    JOURNAL OF BIOMEDICAL OPTICS, 2008, 13 (04)
  • [30] Label-free, three-dimensional multiphoton microscopy of the connective tissue in the anterior vaginal wall
    Sikora, Michal
    Scheiner, David
    Betschart, Cornelia
    Perucchini, Daniele
    Mateos, Jose Maria
    di Natale, Anthony
    Fink, Daniel
    Maake, Caroline
    INTERNATIONAL UROGYNECOLOGY JOURNAL, 2015, 26 (05) : 685 - 691